Jennifer Onopa

17 total papers · 528 total citations
12 papers, 320 citations indexed

About

Jennifer Onopa is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Jennifer Onopa has authored 12 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 3 papers in Genetics and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Jennifer Onopa's work include Nutritional Studies and Diet (9 papers), Consumer Attitudes and Food Labeling (3 papers) and Nutrition, Genetics, and Disease (3 papers). Jennifer Onopa is often cited by papers focused on Nutritional Studies and Diet (9 papers), Consumer Attitudes and Food Labeling (3 papers) and Nutrition, Genetics, and Disease (3 papers). Jennifer Onopa collaborates with scholars based in United States, Australia and Canada. Jennifer Onopa's co-authors include Dariush Mozaffarian, Junxiu Liu, Colin D. Rehm, Peilin Shi, Renata Micha, Jianyi Zhang, Gitanjali Singh, Victoria Miller, Julia Reedy and Patrick Webb and has published in prestigious journals such as JAMA, Circulation and American Journal of Preventive Medicine.

In The Last Decade

Jennifer Onopa

12 papers receiving 314 citations

Hit Papers

Trends in Diet Quality Am... 2020 2026 2022 2024 2020 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Onopa 220 81 61 51 33 12 320
Carine Issa 187 0.8× 56 0.7× 46 0.8× 90 1.8× 36 1.1× 13 318
Brenda Martínez‐Tapia 218 1.0× 107 1.3× 81 1.3× 45 0.9× 19 0.6× 20 342
Kathy Hosig 171 0.8× 110 1.4× 46 0.8× 21 0.4× 13 0.4× 19 303
Judy Putnam 204 0.9× 54 0.7× 44 0.7× 67 1.3× 22 0.7× 10 343
Tine Buch‐Andersen 127 0.6× 52 0.6× 45 0.7× 38 0.7× 20 0.6× 12 306
Jerold R. Mande 188 0.9× 137 1.7× 47 0.8× 34 0.7× 14 0.4× 9 301
Haley Parker 185 0.8× 69 0.9× 32 0.5× 52 1.0× 82 2.5× 17 352
Maria Arlete Meil Schimith Escrivão 236 1.1× 99 1.2× 32 0.5× 66 1.3× 12 0.4× 21 344
Marta García‐Solano 164 0.7× 60 0.7× 41 0.7× 27 0.5× 8 0.2× 15 220
Michael Saheb Kashaf 170 0.8× 138 1.7× 25 0.4× 21 0.4× 20 0.6× 16 344

Countries citing papers authored by Jennifer Onopa

Since Specialization
Citations

This map shows the geographic impact of Jennifer Onopa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer Onopa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Onopa more than expected).

Fields of papers citing papers by Jennifer Onopa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Onopa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer Onopa. The network helps show where Jennifer Onopa may publish in the future.

Co-authorship network of co-authors of Jennifer Onopa

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Onopa. A scholar is included among the top collaborators of Jennifer Onopa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Onopa. Jennifer Onopa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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